Author

Christopher Toomajian

Kansas State UniversityORCID 0000-0002-6763-0678Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:fungi (other)· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Cheng HeiD· 1 shared Frank F. WhiteiD· 1 shared Guoying WangiD· 1 shared Hongjun LiuiD· 1 shared Jie ReniD· 1 shared Jun ZhengiD· 1 shared Junjie FuiD· 1 shared Pierre MigeoniD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenomics

Cheng HeORCID

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2 papers

Recent·Most cited

Genome-wide association study of DMI fungicide sensitivity detects numerous small-effect variants in the major North American population of Fusarium graminearum

Upasana Dhakal, Christopher Toomajian

This study performs a genome-wide association study to identify genetic variants linked to DMI fungicide sensitivity in Fusarium graminearum, finding numerous small-effect variants and common QTNs for two fungicides.

bioRxiv · Sep 25, 2025 · PreprintGenetics

Unbiased K-mer Analysis Reveals Changes in Copy Number of Highly Repetitive Sequences During Maize Domestication and Improvement

Sanzhen Liu, Jun Zheng, Pierre Migeon, Jie Ren, Ying Hu, Cheng He, Hongjun Liu, Junjie Fu, Frank F. White, Christopher Toomajian, Guoying Wang

The paper uses k-mer analysis of maize genomes to identify changes in repetitive sequence copy numbers during domestication and improvement.

Scientific Reports · Feb 10, 2017Peer-reviewedGenomics